Poverty Lines Based on Fuzzy Sets Theory and its Application to Malaysian Data

Author:

Abdullah Lazim

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Sociology and Political Science,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Reference33 articles.

1. Baliamoune, M. N. (2000). Economics of summitry: An empirical assessment of the economic effects of summits. Empirica, 27, 295–314.

2. Baliamoune, M. N. (2004). On the measurement of human well-being: Fuzzy set theory and sen’s capability approach (research paper). Helsinki: Wider Conference.

3. Baran, B., Rojas, A., Britez., D., & Baran. L (1999) Measurement and Analysis of Poverty and Welfare Using Fuzzy Sets. In: World multiconference on systemics, cybernetics and informatics and and 5th international conference on information systems analysis and synthesis, vol. 8: Concepts and applications of systemics, cybernetics and informatics, Jul 31–Aug 4, 1999, Orlando, Florida.

4. Betti, G., & Verma, V. (1999). Measuring the degree of poverty in a dynamic and comparative context: A multidimensional approach using fuzzy set theory. Proceedings ICCS-VI, 11, 289–301.

5. Cerioli, A., & Zani, S. (1990). A fuzzy approach to the measurement of poverty. In C. Dagum & M. Zenga (Eds.), Income and wealth distribution, inequality and poverty, studies in contemporary economics (pp. 272–284). Berlin: Springer.

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